AI-powered junk image cleaning app Siftr draws global attention

Siftr’s magic cleaning app analyses all photos in a jiffy and separates the junk from the pictures...

Artificial Intelligence is being exploited in ways that can potentially ease one’s technology-enabled life. Here is one that will perhaps help each one of us. A Noida-based start-up Siftr Labs claims to have developed an insanely powerful artificial intelligence platform, which will end all worries about organizing photos and videos. Memes, forwards, unwanted images, screenshots and all other junk images that your WhatsApp litters in your smartphone gallery can just be deleted with Siftr’s Magic Cleaning App. Siftr’s AI-powered apps analyse all photos in a jiffy and quickly separates the junk from the pictures that need to be retained.

While working at Adobe, young entrepreneur Romil Mittal along with his colleague Mayank Bhagya, noticed that with mobile cameras improving in quality, and social and messaging networks becoming popular, there was a spike in the number of pictures being clicked by every user. As a result, on an average smartphone users were storing 2,000 and more images on their device. Added to this forwarded images and videos via various messenger groups were also piling on the user’s phone memory. “The problem that most users face was that of losing memory space too fast. Both of us wanted to use our skills and understanding of AI to solve this problem, as to our knowledge there was no company in India that could delete images using Artificial Intelligence,” says Mittal elaborating on how the idea of Siftr Labs was conceived. Siftr is located in Noida, UP.

“In our conversations, we started discussing the possibility of such a product and its workings. Once we felt we were ready to dedicate ourselves full time to building such a business, we quit our jobs at Adobe and launched Siftr in 2015 to solve every image management problem of end users and professionals in the creative field,” says Mittal.

As the idea got rolling, Mittal and Bhagya inducted people within their network, who were excited to build a first-of-its-kind product and in no time they were able to attract some great